Instructions to use usaf/ztranslate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use usaf/ztranslate with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("usaf/ztranslate") model = AutoModelForSeq2SeqLM.from_pretrained("usaf/ztranslate", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from usaf/ztranslate: direct link, hf CLI and curl.
- Browser
- Download file 298 MB
-
https://huggingface.co/usaf/ztranslate/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://usaf/ztranslate/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/usaf/ztranslate/resolve/main/pytorch_model.bin
298 MB
- Xet hash:
- 119ada71db895927688e2e977671b99e06564c28274a0a181d696ed9fac113fd
- Size of remote file:
- 298 MB
- SHA256:
- b1414228c89cf6b659bb8053b64027b341e09752c65e7ecd20c10c863bed6fa1
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